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  1. What is Automata Theory? Study of abstract computing devices, or “machines” Automaton = an abstract computing device. Note: A “device” need not even be a physical hardware! A fundamental question in computer science: . Find out what different models of machines can do and cannot do. The theory of computation. Computability vs. Complexity.

  2. LECTURE NOTES. 1. Introduction. (PDF) 2. Logic, circuits, and gates. (PDF) 3. Deterministic finite automata (DFAs) and nondeterministic finite automata (NFAs)

  3. Sep 12, 2020 · WHAT DOES AUTOMATA MEAN? • It is the plural of automaton, and it means “something that works automatically”. • Automata theory is the study of abstract computational devices and the computational problems that can be solved using them. • Abstract devices are (simplified) models of real computations. BY: Kapil Saini

  4. web.stanford.edu › class › archiveFinite Automata

    Finite Automata This type of computational device is called a finite automaton (plural: finite automata). Finite automata model computers where (1) memory is finite and (2) the computation produces as YES/NO answer. In other words, finite automata model predicates, and do so with a fixed, finite amount of memory. Finite-memory Computer input YES

  5. Nov 6, 2015 · This document provides an introduction to automata theory and finite automata. It defines an automaton as an abstract computing device that follows a predetermined sequence of operations automatically.

  6. Jan 18, 2016 · Automata theory studies abstract computing devices and the types of tasks they are capable of. Alan Turing pioneered this field in the 1930s by studying Turing machines. The theory examines questions like which tasks can and cannot be performed by different models of machines.

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  8. What is Automata Theory? Study of abstract computing devices, or “machines” Automaton = an abstract computing device. Note: A “device” need not even be a physical hardware! A fundamental question in computer science: Find out what different models of machines can do and cannot do. The theory of computation. Computability vs . Complexity.

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